- 专利标题: DETECTION OF OPERATION TENDENCY BASED ON ANOMALY DETECTION
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申请号: US16426763申请日: 2019-05-30
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公开(公告)号: US20200380354A1公开(公告)日: 2020-12-03
- 发明人: Kun Zhao , Takayuki Katsuki , Takayuki Yoshizumi
- 申请人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06N5/04
摘要:
A computer-implemented method for detecting an operation tendency is disclosed. The method includes preparing a general model for generating a general anomaly score. The method also includes preparing a specific model, for generating a specific anomaly score, trained with a set of a plurality of operation data related to operation by a target operator. The method further includes receiving input operation data. The method includes also calculating a detection score related to the operation tendency by using a general anomaly score and a specific anomaly score generated for the input operation data. Further the method includes outputting a result based on the detection score.
公开/授权文献
- US12099922B2 Detection of operation tendency based on anomaly detection 公开/授权日:2024-09-24
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